-
Notifications
You must be signed in to change notification settings - Fork 16
/
Copy pathTimeSeriesAnimationChart.py
239 lines (206 loc) · 10.4 KB
/
TimeSeriesAnimationChart.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
#coding=utf-8
# plot animation
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.animation as animation
from matplotlib.font_manager import FontProperties
import pandas as pd
from functools import cmp_to_key
import logging
from docopt import docopt
#
from config import AllColors, MARKERS, FONT_PATH
from utils import FileType2
# support Chinese
font_title = FontProperties(fname=FONT_PATH, size = 20, weight=600)
font1 = FontProperties(fname=FONT_PATH, size = 14, weight=600)
font2 = FontProperties(fname=FONT_PATH, size = 12, weight=600)
'''
core class TimeSeriesAnimationChart
'''
class TimeSeriesAnimationChart():
def __init__(self, datasets, val, time, name):
self._datasets = datasets
self._val = val
self._time = time
self._name = name
self._colors = None
self._fig = None
self._ax = None
def _loadcolors(self):
# need to update
name_list = list(set(self._datasets[self._name].values))
color_list = AllColors[:len(name_list)]
return dict(zip(name_list, color_list))
def _loadmarkers(self):
name_list = list(set(self._datasets[self._name].values))
marker_list = MARKERS[:len(name_list)]
return dict(zip(name_list, marker_list))
def _checkdataset(self):
# need fixd use try .. except ..
assert isinstance(self._datasets, pd.DataFrame)
columns = [self._val, self._time, self._name]
try:
df = self._datasets[columns]
except KeyError:
logging.error("index error")
return -1
# has null
for col in columns:
null_num = df[col].isnull().sum()
if null_num != 0:
logging.warning('{} has null val!'.format(col))
# values must float or xxx,xxx,xxx
if isinstance(self._datasets[self._val][0], str):
self._datasets[self._val] = self._datasets[self._val].apply(lambda x: eval(x.replace(',','')))
return 0
def _make_frame(self, cmp = None, reverse = False):
times = list(set(self._datasets[self._time].values))
if cmp != None:
cmp = cmp_to_key(cmp)
times.sort(key = cmp, reverse=reverse)
# print(times)
return times
def _drawBarChart(self, k):
# need to update
dff = self._datasets[self._datasets[self._time].eq(k)].sort_values(by=self._val, ascending=True).tail(self._bar_display_num)
self._ax.clear()
self._ax.barh(dff[self._name], dff[self._val], color = [self._colors[x] for x in dff[self._name]])
dx = 0.01
for i, (value, name) in enumerate(zip(dff[self._val], dff[self._name])):
self._ax.text(value*(1-dx), i, name, size = 14, weight = 600, color='#242424', ha = 'right', va='bottom', fontproperties=font1)
self._ax.text(value*(1+dx), i-0.25, '', size=10, color='#444444', ha = 'right', va = 'baseline', fontproperties=font2)
self._ax.text(value*(1+dx), i, f'{value:,.0f}', size=14, ha = 'left', va='center')
self._ax.text(1, 0.25, k, transform=self._ax.transAxes, color='#777777', size=46, ha='right', weight=800)
self._ax.text(0, 1.05, "{}".format(self._val), transform=self._ax.transAxes, size=12, color='#777777')
self._ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
self._ax.xaxis.set_ticks_position('top')
self._ax.tick_params(axis='x', colors='#777777', labelsize=12)
self._ax.set_yticks([])
self._ax.margins(0, 0.01)
self._ax.grid(which='major', axis='x', linestyle='-')
self._ax.set_axisbelow(True)
self._ax.text(0, 1.10, '{}-{}'.format(self._frameMin, self._frameMax), transform = self._ax.transAxes, size = 24, weight = 600, ha='left')
plt.box(False)
plt.title('{}'.format(self._title), fontproperties = font_title, color = '#777777')
def _drawPieChart(self, k):
# 分为selected和未selected两部分
dff = self._datasets[self._datasets[self._time].eq(k)]
if isinstance(self._otherdf, pd.DataFrame):
otherdff = self._otherdf[self._otherdf[self._time].eq(k)]
dff = pd.concat([dff, otherdff], axis = 0)
self._ax.clear()
self._ax.pie(x = dff[self._val], labels = dff[self._name], autopct='%1.2f%%', center=(8,6), radius = 1, labeldistance = 1.1,
textprops=dict(fontproperties=font1))
# 饼图似乎有点问题
plt.legend(title = '{}'.format(self._name), loc="center right", bbox_to_anchor=(1, 0, 0.5, 1), prop = font2)
self._ax.set_xlabel('{}'.format(k), size = 24, color = '#777777', weight = 600)
plt.title('{}'.format(self._title), fontproperties = font_title, color = '#777777')
def _drawLineChart(self, k):
dff = self._datasets[self._datasets[self._time].le(k)]
df = dff[dff[self._time].eq(k)]
self._ax.clear()
for name in df[self._name]:
item = dff[dff[self._name].eq(name)]
self._ax.plot(item[self._time], item[self._val],c = self._colors[name], marker = self._markers[name], lw = 1.5, ms = 3, label = name)
dx = 0.03
for _, (value, time, name) in enumerate(zip(df[self._val], df[self._time], df[self._name])):
self._ax.text(time, value*(1+dx), name, size = 10, weight=400, va='bottom', color = '#444444', fontproperties=font1)
self._ax.text(time, value*(1+dx), f'{value:,.0f}', size = 12, weight=400, va='top', color = '#444433')
self._ax.grid(which = 'major', axis = 'y', linestyle='--', linewidth=1, alpha=0.3)
self._ax.set_xlabel('{}'.format(self._time), size = 20, color = '#777777', weight = 400)
self._ax.yaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
self._ax.set_ylabel('{}'.format(self._val), size = 20, color = '#777777', weight = 400)
self._ax.spines['top'].set_visible(False) # 去掉上边框
self._ax.spines['right'].set_visible(False) # 去掉上边框
self._ax.legend(prop=font2, bbox_to_anchor=(0, 0, 0.1, 1)) #
plt.title('{}'.format(self._title), fontproperties = font_title, color = '#777777')
self._ax.text(0.25, 0.9, k, transform=self._ax.transAxes, color='#777777', size=46, ha='right', weight=800)
def animation(self, chart_type = 'line', bar_display_num = 10, selected=None,title = '', saveflag = False,
interval = 200, repeat = False, frames = None,
cmp=None, reverse = False, ):
# check
if self._checkdataset():
logging.error("file check error")
return
logging.info('Check Accomplished!')
# loads
self._colors = self._loadcolors()
self._markers = self._loadmarkers()
self._selected = selected
self._title = title
self._bar_display_num = bar_display_num
logging.info('Load Congfig! Accomplished!')
# make frame
if(frames == None):
frames = self._make_frame(cmp, reverse)
self._frameMax = frames[-1]
self._frameMin = frames[0]
# chart_type
drawFunc = None
if chart_type == 'bar':
drawFunc = self._drawBarChart
if chart_type == 'pie':
drawFunc = self._drawPieChart
if chart_type == 'line':
drawFunc = self._drawLineChart
if drawFunc == None:
logging.error("select right draw funcs")
return
#
self._otherdf = None
if self._selected != None:
df_tmp = self._datasets[~self._datasets[self._name].isin(self._selected)]
df = df_tmp[self._val].groupby(df_tmp[self._time]).sum()
self._otherdf = pd.DataFrame()
self._otherdf[self._time] = df.index
self._otherdf[self._val] = df.values
self._otherdf[self._name] = 'others'
self._datasets = self._datasets[self._datasets[self._name].isin(self._selected)]
# make animator
self._fig, self._ax = plt.subplots(figsize = (15, 8))
animator = animation.FuncAnimation(self._fig, drawFunc, frames=frames, interval = interval ,repeat = repeat)
if saveflag:
print('please wait, {}-{}.gif are saving'.format(self._title, chart_type))
animator.save('{}-{}.gif'.format(self._title, chart_type), writer='imagemagick')
print('saved as {}-{}.gif are saving'.format(self._title, chart_type))
plt.show()
def cli():
cli_docs = """
******************************************************************************************************************************************
TimeSeriesAnimationChart is a smalls tools for time series dynamic visualization.
support .json .csv .xlsx
save AnimationChart as .fig file
Usage:
TimeSeriesAnimationChart.py (bar | line | pie) <file_path> <val> <time> <name> [--bar_display_num=<bar_display_num>] [--selected=<selectd>] [--title=<title>] [--save=<save>]
TimeSeriesAnimationChart.py (-h | --help)
Options:
-h --help Show this screen.
--bar_display_num=<bar_display_num> bars num
--selected=<selectd> specific name
[--title=<title> chart title
--save=<save> save as .fig file (true|false)
Query example：
python TimeSeriesAnimationChart.py bar example/population_data.csv val year country --save=true
python TimeSeriesAnimationChart.py line example/population_data.csv val year country --selected='中国 印度 美国'
"""
arguments = docopt(cli_docs)
file_path = arguments['<file_path>']
val = arguments['<val>']
time = arguments['<time>']
name = arguments['<name>']
if arguments['bar'] == True:
chart_type='bar'
elif arguments['line'] == True:
chart_type = 'line'
elif arguments['pie'] == True:
chart_type = 'pie'
bar_display_num = 10 if not arguments['--bar_display_num'] else int(arguments['--bar_display_num'])
selectd = arguments['--selected'].split(' ') if arguments['--selected'] else None
title = arguments['--title'] if arguments['--title'] else "chart"
saveflag = arguments['--save'] if arguments['--save'] else ""
datasets = FileType2.load_file(file_path)
a = TimeSeriesAnimationChart(datasets, val, time, name)
a.animation(chart_type, bar_display_num, selectd, title, saveflag)
if __name__ == "__main__":
cli()